Jiaxin Qi

According to our database, Jiaxin Qi authored at least 26 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Towards Universal Gene Regulatory Network Inference: Unlocking Generalizable Regulatory Knowledge in Single-cell Foundation Models.

Jiaxin Qi, Hang Li, Yan Cui, Yuhua Zheng, Jianqiang Huang

CoRR, May, 2026

Intrinsic Gradient Suppression for Label-Noise Prompt Tuning in Vision-Language Models.

Jiayu Li, Jiaxin Qi, Sheng Zhou, Jiaqiang Huang, Xiansheng Hua

CoRR, May, 2026

Long-CODE: Isolating Pure Long-Context as an Orthogonal Dimension in Video Evaluation.

Zhijiang Tang, Jiaxin Qi, Bing Zhao, Jianqiang Huang

CoRR, April, 2026

In Search of Lost DNA Sequence Pretraining.

Zhijiang Tang, Jiaxin Qi, Yan Cui, Jinli Ou, Yuhua Zheng, Jianqiang Huang

CoRR, April, 2026

Experience is the Best Teacher: Motivating Effective Exploration in Reinforcement Learning for LLMs.

Wenjian Zhang, Kongcheng Zhang, Jiaxin Qi, Baisheng Lai, Jianqiang Huang

CoRR, March, 2026

Spatial Transcriptomics as Images for Large-Scale Pretraining.

Yishun Zhu, Jiaxin Qi, Jian Wang, Yuhua Zheng, Jianqiang Huang

CoRR, March, 2026

Scaling Test-Time Robustness of Vision-Language Models via Self-Critical Inference Framework.

Kaihua Tang, Jiaxin Qi, Jinli Ou, Yuhua Zheng, Jianqiang Huang

CoRR, March, 2026

CCCaption: Dual-Reward Reinforcement Learning for Complete and Correct Image Captioning.

Zhijiang Tang, Linhua Wang, Jiaxin Qi, Weihao Jiang, Peng Hou, Anxiang Zeng, Jianqiang Huang

CoRR, February, 2026

Gene Incremental Learning for Single-Cell Transcriptomics.

Jiaxin Qi, Yan Cui, Jianqiang Huang, Gaogang Xie

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Graph Neural Networks as a Substitute for Transformers in Single-Cell Transcriptomics.

Jiaxin Qi, Yan Cui, Jinli Ou, Jianqiang Huang, Gaogang Xie

CoRR, July, 2025

A Comprehensive Benchmark for Electrocardiogram Time-Series.

Zhijiang Tang, Jiaxin Qi, Yuhua Zheng, Jianqiang Huang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Graph Neural Networks as a Substitute for Transformers in Single-Cell Transcriptomics.

Jiaxin Qi, Yan Cui, Jinli Ou, Jianqiang Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics.

Jiaxin Qi, Yan Cui, Kailei Guo, Xiaomin Zhang, Jianqiang Huang, Gaogang Xie

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Mining and fusing unstructured online reviews and structured public index data for hospital selection.

Huchang Liao, Jiaxin Qi, Jiawei Zhang, Chonghui Zhang, Fan Liu, Weiping Ding

Inf. Fusion, March, 2024

Fine-Tuning for Few-Shot Image Classification by Multimodal Prototype Regularization.

Qianhao Wu, Jiaxin Qi, Dong Zhang, Hanwang Zhang, Jinhui Tang

IEEE Trans. Multim., 2024

2023

Advances of Probabilistic Linguistic Preference Relations: A Survey of Theory and Applications.

Huchang Liao, Jiaxin Qi, Xiaofang Li, Romualdas Bausys

Int. J. Fuzzy Syst., November, 2023

Removing bias for out-of-distribution generalization

Jiaxin Qi

PhD thesis, 2023

2022

A framework for human-computer interactive street network design based on a multi-stage deep learning approach.

Zhou Fang, Jiaxin Qi, Lubin Fan, Jianqiang Huang, Ying Jin, Tianren Yang

Comput. Environ. Urban Syst., 2022

A topography-aware approach to the automatic generation of urban road networks.

Zhou Fang, Jiaxin Qi, Lubin Fan, Jianqiang Huang, Ying Jin, Tianren Yang

Int. J. Geogr. Inf. Sci., 2022

NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges.

Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Invariant Feature Learning for Generalized Long-Tailed Classification.

Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang

Proceedings of the Computer Vision, 2022

Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization.

Jiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

Deconfounded Visual Grounding.

Jianqiang Huang, Yu Qin, Jiaxin Qi, Qianru Sun, Hanwang Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

"Reading" cities with computer vision: a new multi-spatial scale urban fabric dataset and a novel convolutional neural network solution for urban fabric classification tasks.

Zhou Fang, Jiaxin Qi, Tianren Yang, Li Wan, Ying Jin

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Two Causal Principles for Improving Visual Dialog.

Jiaxin Qi, Yulei Niu, Jianqiang Huang, Hanwang Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2013

Enterprise Human Resources Information Mining Based on Improved Apriori Algorithm.

Lei He, Jiaxin Qi

J. Networks, 2013